Research

  • Disaster risk assessments at different scales. (PI: Liliana Carreño)
    • Risk assessment with a comprehensive approach considering socio-economic and lack of resilience indicators. Development of tools for effective disaster risk management. These tools provide results for risk reduction, emergency attention and support different disaster risk management activities (Marulanda et al. 2020).
    • Conceptual framework of the holistic approach to disaster risk

      Figure 1: Conceptual framework of the holistic approach to disaster risk (Marulanda et al., 2020)
  • Development of indicators for disaster risk evaluation, resilience and disaster risk management. (PI: Liliana Carreño)
    • Global agendas encourage countries, regions, and cities to maintain efforts to reduce their disaster risk and improve their resilience. The development of indicators to perform such evaluations and perform progress monitoring helps communicate and apply an informed decision-making process (Lantada et al. 2020, Marulanda et al 2020).
    • Map of total risk from holistic perspective

      Figure 2: Map of total risk from holistic perspective (Country Disaster Risk Index, CDRi) (Marulanda et al. 2020)
  • Integration of catastrophe models with financial instruments. (PI: Mario A. Salgado)
    • Probabilistic catastrophe models provide required data for the structuring and design of financial protection strategies. The calibration and validation procedures for different components of the model, index selection, and customization of the models to fit the characteristics of portfolios impact the pricing and reliability of financial protection instruments.
    • Novel risk transfer approaches such as parametric insurance allow rapid pay-outs, but at the same time require robust and sound data for the estimation of the indexes (triggers). In the case of earthquakes, modelled intensities and/or losses for large events are highly dependent on the selection of the fault plane, for which a set of rules, coherent with the pre-event calculations need to be defined.
    • PGA footprints associated to two fault planes of the same earthquak.

      Figure 3: PGA footprints associated to two fault planes of the same earthquak. (Salgado-Gálvez et al., 2020)
  • Probabilistic Seismic Hazard Analysis (PI: Mario A. Salgado)
    • Integration of the liquefaction analysis within the probabilistic seismic hazard framework. Typically, liquefaction analyses are performed for the maximum considered earthquake which selection tends to be highly subjective and does not provide a lot of information about its occurrence frequency. The use of an event-based approach to estimate the liquefaction hazard allows having a more comprehensive description of the problem and is very useful in environments where two or more seismic sources contribute to the overall hazard level.
    • Rd factors for different PGA values.

      Figure 4: Rd factors for different PGA values. Ordaz et al., (2020).